About the team

The Incubate Team explores and implements cutting-edge applications in Agentic AI and Machine Learning. The team is currently building a platform for the safe execution of AI

agents: an environment where autonomous agents can run, call tools, and act on data with isolation, policy enforcement, observability, and human oversight built in. You will join a

small, hands-on team that moves from research idea to working prototype to production-grade component, and you will be expected to own significant parts of that journey.

Experience: 4–5+ years in product development

Location / Work model: Rome (Italy) / Hybrid

Mandate Skills

- Education: Bachelor’s or Master’s degree in Computer Science, Statistics, or a related quantitative field
- Programming: Python (expert level)
- ML / GenAI frameworks: PyTorch, TensorFlow, scikit-learn;
- LangChain, LangGraph, LlamaIndex
- ML architectures: Deep Learning, Generative AI / LLMs, predictive models
- Agentic AI: proven experience designing and shipping LLM-based agents (tool/function calling, multi-agent orchestration, RAG, memory) integrated with external systems via APIs or protocols such as MCP
- Containers & orchestration: Docker, Kubernetes
- Scripting & OS: Bash shell scripting on Linux/Unix

What you will do

- Own the design and delivery of core components of the agent execution platform: agent runtime, tool/function-calling layer, sandboxing and isolation, policy and guardrail enforcement, and audit/observability.




- Build and evaluate GenAI solutions using state-of-the-art and proprietary models; prototype quickly, measure rigorously, and harden what works into production-quality services.
- Define and implement evaluation pipelines and datasets to measure agent correctness, safety, robustness, and cost (e.g., red-teaming, prompt-injection resistance, regression suites).
- Apply data science methods — experiment design, statistical analysis, predictive modelling — to understand agent behaviour and drive product decisions with evidence.
- Package and deploy services as containers on Kubernetes; contribute to CI/CD, monitoring, and operational tooling.
- Provide technical leadership: lead design reviews, set engineering standards for the team, and mentor less experienced engineers.
- Collaborate with product, security, and platform teams; document designs and share findings through demos and technical write-ups.
- Track the agentic/LLM ecosystem and bring relevant techniques, tools, and research into the team’s roadmap.

What we are looking for:

- BE/BTech or above in Computer Science, Statistics, or related stream; 4–5+ years of product development experience, with a track record of shipping AI/ML features to production




- Extensive experience in AI/ML technologies and professional software development practices (testing, code review, version control, CI/CD)
- Expert-level Python
- Experience developing cutting-edge GenAI solutions, exploring advanced AI models, and working with proprietary generative models
- Hands-on experience with agent frameworks (LangChain, LangGraph, LlamaIndex) and vector/retrieval stacks
- Deep knowledge of Kubernetes and container-based deployment; Docker proficiency
- Bash shell scripting in Linux/Unix environments
- Solid understanding of secure-by-design principles for AI systems: least privilege, sandboxing, input/output validation, secrets handling, auditability
- Ability to take ambiguous problems from concept to working solution with limited supervision
- Excellent written and verbal communication skills; able to explain complex technical trade-offs to mixed audiences

Nice to have

- Java (or another JVM language) for integration with existing services
- Experience with MLOps/LLMOps tooling (model serving, experiment tracking, evaluation frameworks)
- Familiarity with agent interoperability protocols (e.g., MCP, A2A) and tool/plugin ecosystems
- Exposure to cloud platforms (AWS, Azure, GCP) and infrastructure-as-code
- Knowledge of AI governance, safety, or responsible-AI frameworks (e.g., NIST AI RMF, OWASP Top 10 for LLM Applications)
- Contributions to open-source AI projects or publications

Candidate Data Privacy Notice

https://www.hcltech.com/candidate-privacy-notice

📌 Senior AI Engineer / Data Scientist (Roma)
🏢 HCLSoftware
📍 Roma